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University of Rochester Decision Support Analyst - 229103 in Rochester, New York

Decision Support Analyst Job ID 229103

Location School of Medicine & Dentistry Full/Part Time Full-Time Favorite Job Regular/Temporary Regular Opening

Full Time 40 hours Grade 054 UR Medicine Quality Institute

Schedule

8 AM-4:30 PM

Responsibilities

POSITION SUMMARY

Responsible for designing and implementing clinical and operational decision support solutions. These solutions range from simple reports and graphs to complex artificial intelligence, statistical analyses, and machine learning models. Provides data to support clinical, administrative, operational, and research requirements leveraging EHR and other reporting tools and datasets.

Serves as the project support on multiple projects and completes required statuses of progress and updates related to supported projects and tasks. Willing to perform analysis and programming addressing challenging tasks supporting team processes.

KEY RESPONSIBILTIES

[25%] Data Preparation

  • Researches, analyzes, manipulates and supplies data to teammates and end users from various data sources including the EHR

  • Uses data reports to support data science efforts and data exploration efforts

  • Cleans and manipulates data into usable formats

  • Creates data marts and data warehouses to support advanced reporting scenarios

  • Links data from multiple sources and stores it in a format that is easy to query

  • Constructs and supports ETL processes to regularly populate data warehouses

[25%] Data Visualization and Report Generation

  • Creates data visualizations suited to particular audiences and tasks

  • Develops dashboards for self-service reporting with input from clinical stakeholders

  • Builds exploratory data solutions that allows users to explore the data themselves

[20%] Requirements Gathering

  • Works with the project director and end-users to understand project requirements

  • Uses in-depth technical knowledge to develop innovative design plans and presents them to the project director

  • Determines what capabilities are possible and within what time frame through experience and research

  • Compiles organized notes which can be shared with the team

[20%] Project Design

  • Independently researches and tests new reporting, visualization, and machine learning techniques

  • Determines what data will be necessary for a project and how to best obtain it and clean it

  • Determines the best format for users to consume the data (raw, tables, graphs, dashboards)

  • Analyzes how a new solution interacts with or enhances existing solutions and how future solutions may benefit from the design

[10%] Continuing Education

  • Maintains current knowledge base and expertise relative to the technology and software used by related to the EHR and functional areas being supported

REQUIREMENTS

Bachelor's degree in related discipline such as Computer Science, Business, Mathematics, Statistics, Science or Engineering required, and 3-4 years of related experience, preferably 1-2 years in a supervisory capacity required; or an equivalent combination of education and experience. Master's degree preferred.

Bachelor’s degree in Computer Science, Data Science, Epidemiology, Applied Statistics, Information Science preferred.

  • Client and customer-facing experience preferred, specifically in designing analytical solutions in applied business contexts.

  • Experience using analytical tools such as R, Python or SAS and designing data visualizations using Tableau, Spotfire or PowerBI preferred.

  • Considerable experience with a relational DBMS such as Microsoft SQL or equivalent (Oracle, MySQL) preferred.

  • Exposure to an application programming language such as C#, Java, Python, or equivalent preferred.

  • Epic reporting and analytics certifications (Cogito, Clarity, Caboodle, individual data models, etc.) preferred.

    NOTE: This document describes typical duties and responsibilities and is not intended to limit management from assigning other work as required.

    How To Apply

All applicants must apply online.

EOE Minorities/Females/Protected Veterans/Disabled

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